Lendert Gelens

The paper investigates how cell geometry and nuclear Cyclin B-Cdk1 concentration influence cytoplasmic Cdk1 wave propagation and cortical dynamics in large embryos.

The paper presents a Markov chain model to explain temperature scaling of biological rates, finding a three-zone pattern across diverse datasets.

The paper examines temperature scaling in the early embryonic cell cycle across multiple species, finding similar activation energies and explaining deviations using computational models and experimental data.

This study shows that the nuclear-cytoplasmic ratio affects the cell cycle period in frog egg extracts, with nuclei increasing in size and extending the cycle time.

The paper observes a transition from phase waves to trigger waves in Xenopus egg extracts and shows how these waves coordinate the cell cycle over long distances.

This study applies SINDy to biological oscillatory data, identifies limitations in resolution, noise, dimensionality, and prior knowledge, and proposes a guide for model inference using yeast glycolytic oscillation data.

This paper compares time-delayed negative feedback mechanisms in biochemical oscillators, showing how different feedback models impose distinct constraints on production and degradation rates for oscillations.

The paper models cell cycle oscillations in Xenopus laevis embryos, showing how bistable switches affect oscillation properties and confer robustness.

The paper introduces a modular approach to model the cell cycle using functional response curves, demonstrating how ultrasensitive responses, S-shaped responses, and time delays can be combined to capture bistable behavior and cell cycle dynamics.

The paper shows how dynamically changing bistable switches improve control and robustness of cell cycle transitions by modeling mitotic entry with time-dependent bistability.

This paper uses deterministic and stochastic modeling to show that toxin-induced mRNA cleavage in TA systems can lead to excitable dynamics, with stress increasing excitation frequency and decreasing excitation time.

The paper studies synthetic gut communities to understand species interactions and emergent behavior through culturing, modeling, and transcriptomics.